Memory Dump Analysis Anthology de Dmitry Vostokov

Memory Dump Analysis Anthology

Dmitry Vostokov

en Limba Engleză Paperback – 30 apr 2010

This is a supplemental volume of selected articles with 68 full color illustrations from Memory Dump Analysis Anthology: revised, edited, cross-referenced and thematically organized volumes of selected DumpAnalysis.org blog posts about modern crash dump analysis and debugging written in August 2006 - June 2009 for software engineers developing and maintaining products on Windows platforms, quality assurance engineers testing software on Windows platforms, technical support and escalation engineers dealing with complex software issues, security and defect researchers, computer scientists and philosophers. Unique in its breadth, depth, and scope it offers unprecedented insight into the world of Windows software and draws profound scientific and metaphysical implications.

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Notă biografică

Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, and author. He is the founder of pattern-oriented software diagnostics, forensics and prognostics discipline, and Software Diagnostics Institute. Vostokov has also authored more than 50 books on software diagnostics, anomaly detection and analysis, software and memory forensics, root cause analysis and problem solving, memory dump analysis, debugging, software trace and log analysis, reverse engineering, and malware analysis. He has more than 25 years of experience in software architecture, design, development, and maintenance in a variety of industries including leadership, technical and people management roles. Dmitry also founded Syndromatix, Anolog.io, BriteTrace, DiaThings, Logtellect, OpenTask Iterative and Incremental Publishing, and Software Diagnostics Technology and Services (former Memory Dump Analysis Services) and Software Prognostics. In his spare time, he presents various topics on Debugging TV and explores Software Narratology, its further development as Narratology of Things and Diagnostics of Things (DoT), Software Pathology, and Quantum Software Diagnostics. His current areas of interest are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, artificial intelligence, machine learning and data mining to diagnostics and anomaly detection, software diagnostics engineering and diagnostics-driven development, diagnostics workflow and interaction. Recent interest areas also include cloud native computing, security, automation, functional programming, and applications of category theory to software development and big data.